Neuphoria Therapeutics (NEUP) Operating Leases (2020 - 2025)
Neuphoria Therapeutics (NEUP) reported Operating Leases of $19,322 for fiscal Q3 2025 (quarter ended Mar 31, 2025), down 61.2% from the prior quarter.
Neuphoria Therapeutics (NEUP) Operating Leases (2020 - 2025) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Neuphoria Therapeutics posted Operating Leases of $117,628, down 51.0% from FY2023.
- Operating Leases has declined for three consecutive fiscal years, though with a four-year compound annual growth rate of 62.0% (FY2020 to FY2024).
- By fiscal year, Operating Leases came in at $239,835 in FY2023 (-37.2%), $382,189 in FY2022 (-28.4%), $534,128 in FY2021 and $17,078 in FY2020.
- The fiscal Q3 2025 figure ranks as the lowest quarterly Operating Leases since fiscal Q4 2020.
- Per Business Quant data, the three fiscal quarters before Q3 2025 came in at $49,818 (Q2 2025), $89,469 (Q1 2025) and $117,628 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Neuphoria Therapeutics | 443.79 Mn | 368.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 19,322.00 |
| Dec 31, 2024 | 49,818.00 |
| Sep 30, 2024 | 89,469.00 |
| Jun 30, 2024 | 117,628.00 |
| Jun 30, 2023 | 241,774.04 |
| Jun 30, 2022 | 382,188.60 |
| Jun 30, 2021 | 534,127.96 |
| Jun 30, 2020 | 16,671.93 |
Neuphoria Therapeutics Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=NEUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "NEUP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=NEUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();